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Identifies impactful municipality-level variables for case-mix adjustment in Norway, suggesting improved fairness in quality comparisons.
BACKGROUND: Understanding patients' experiences with general practice is essential for improving services, and quality indicators are commonly used for that purpose. When reporting at the municipality level, factors beyond municipal control, such as age and country of birth, may influence results. Case-mix adjustment helps ensure fair comparisons. While several international studies have assessed case-mix adjustment for patient experience measures, few studies have examine the impact of case-mix adjustment at the municipality level. OBJECTIVE: To identify relevant municipality-level variables for case-mix adjustment in Norway and measure their impact on aggregated patient experience scores. METHODS: . RESULTS: scores. Age and birth country were the most influential adjustors. CONCLUSION: Patient characteristics-particularly age and country of birth-are systematically linked to patient reported experience measures, while sex and education are less important. Case-mix adjustment modestly improves fairness in municipality comparisons, underscoring the need for a selective, evidence-based approach when applying adjustment in quality measurement and research.
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Skyrud et al. (2026) studied this question.
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